Resume

1. ANKIT TYAGI
Email: ankit.tyagi.stats@gmail.com
Mobile: 91 9871496279
Work Experience
Analyst, Cartesian Consulting Pvt. Ltd. 1 Year 3 Month (June 2015- Present)
Key Responsibilities
• Handling all the analytical activities for assigned set of client like analyzing sales activities, customer
purchasing behaviour, marketing campaigns, and pricing in detail using various analytics tools like SAS,
R, SPSS and SQL.
• Offering strategic insights about product marketing activities, store performances and customer behaviour using
advance analytics techniques such as clustering, logistic models, association rule mining, decision tree
analysis, profiling.
• Collaborating with CRM and marketing managers in the client organization and advising them on CRM strategy
• Designing and executing CRM campaigns to achieve specific repeat and retention objectives Derive
methods to measure the campaign effectiveness Key Achievements
• Performed market segmentation using decision tree analysis and cluster analysis for a well-known clothing
brand.
• Consistently designed and executed database marketing campaigns which have generated 2-3% of the
monthly revenue.
• Build repeat models for the client to identify most likely (or less likely) in New Season and End season and
targeted them based on their profiles.
• Peer grouping and store clustering to group stores with similar attributes and designed KPIs for each cluster
of stores.
• Identify root cause for low performance of the stores using analytic techniques and design the marketing
campaign accordingly.
• Used association rule mining to identify products sell in same basket to help a well-known QSR brand to
create combos.
• Won Rookie of the Year for year 2015-16.
Projects undertaken as a part of Academic Curriculum
• Performed Time Series Analysis using ARIMA modelling which includes estimating and eliminating the
deterministic components and modelling the residual using Auto Regressive Moving Average models.
• Used different Machine learning techniques such as Logistic Regression, Discriminant Analysis, k-Nearest
Neighbors, K- means clustering and Artificial Neural Network for classification.
• Used Exploratory Data Analysis for summarizing and visualizing the important characteristics of a dataset.
• Performed Regression Analysis on data which included simple model building, validation of assumptions
of regression analysis, model selection procedures and some methods to deal with violation of regression
assumptions.
• Used techniques such as Naïve Bayes Classifier, Logistic Regression, Clustering, and Discriminant
Analysis for the purpose of classification.

2. Statistical and Analytical Tools
R, Base SAS, SPSS, MS Excel, VBA, Alterian Studio, SQL, Python
Programming Languages
C++, Python
Education:
Secondary School Examination, 2008
Central Board of Secondary Education, scored 84%
Senior School Certificate Examination, 2010
Central Board of Secondary Education, scored 80.8%
BSc. (H). Statistics, 2013
Ram Lal Anand College, University of Delhi, scored 74.6% aggregate
MSc. Statistics 2015
Hindu College, University of Delhi, scored 63% aggregate